AL/ ML Engineer

Klizer group

Austin (TX)

On-site

USD 100,000 - 130,000

Full time

14 days+
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Job summary

Klizer group is seeking a highly motivated AI/ML Engineer in Austin, Texas. The job involves designing and developing machine learning models to address real business challenges. Candidates should have strong skills in machine learning and deep learning, with experience in end-to-end ML workflows. Responsibilities include researching algorithms, prototyping state-of-the-art models, and staying updated with the latest advancements in AI/ML. Join us to drive innovation and contribute to exciting projects.

Qualifications

  • Strong experience in machine learning, deep learning, and applied AI research.
  • Comfortable with end-to-end ML workflows from data exploration to model deployment.
  • Passion for research papers and state-of-the-art algorithms.

Responsibilities

  • Research and implement ML/DL algorithms from recent academic literature.
  • Develop prototypes to evaluate state-of-the-art models.
  • Stay updated with the latest advancements in AI/ML.

Skills

Machine learning
Deep learning
Applied AI research
End-to-end ML workflows
Feature engineering
Research papers
State-of-the-art algorithms
Prototyping

Job description

We are seeking a highly motivatedAI/ML Engineerwith strong experience inmachine learning, deep learning, and applied AI research. You will be responsible fordesigning, experimenting, and developing modelsto solve real-world business problems.The ideal candidate should be comfortable withend-to-end ML workflows—from data exploration and feature engineering to model research, evaluation, and production deployment. A passion forresearch papers, state-of-the-art algorithms, and innovationis key.

Key Responsibilities
AI/ML Research & Development
  • Research and implement ML/DL algorithms from recent papers and academic literature.
  • Develop prototypes to evaluate state-of-the-art models (transformers, diffusion models, LLMs, graph models, etc.).
  • Stay updated with the latest advancements in AI/ML and recommend adoption where relevant.
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